Computer Science Professorship Opportunities

2 weeks ago


New York, New York, United States Icahn School of Medicine at Mount Sinai Full time
Unlocking the Potential of AI in Human Health

The Icahn School of Medicine at Mount Sinai is seeking exceptional candidates for tenure-track or tenured professorships in machine learning, artificial intelligence, and computer science with applications in human health. Our department, in partnership with the Hasso Plattner Institute of Digital Health, aims to harness the power of AI to drive innovation and improve patient outcomes.

We are looking for individuals with a strong track record in computer science, artificial intelligence, and machine learning to join our faculty. Successful candidates will have a Ph.D. in computer science, applied mathematics, computational sciences, physics, chemistry, or a related field, and demonstrate scientific excellence and outstanding achievements in applying advanced machine learning and AI in human health.

Our department benefits from a state-of-the-art facility located in the heart of the Icahn School of Medicine at Mount Sinai campus, offering seamless access to research, clinical data, and operations. We also offer integrated research and educational programs with the Hasso Plattner Institute, providing opportunities for adjunct faculty appointments and collaboration with top computer science and IT systems engineering institutions.

As a member of our faculty, you will be part of a diverse and inclusive community that values excellence, innovation, and collaboration. We offer highly competitive recruitment packages, strong institutional commitments to faculty support, comprehensive benefits, relocation services, and a rewarding work and life environment.

We are an equal opportunity employer and comply with applicable Federal civil rights laws. We do not discriminate on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression.

Apply now to join our team of exceptional researchers and educators and contribute to shaping the future of AI in human health.



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